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Review on Fractal Video and Image Compression Techniques | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Volume 23, Issue 1, March 2023, Pages 132-142 PDF (692.95 K) | ||
| Document Type: Review Paper | ||
| DOI: 10.33103/uot.ijccce.23.1.11 | ||
| Authors | ||
| Baydaa Sh. Z. Abood* 1; Hanan A. R. Akkar2; Amean Sh. Al-Safi3 | ||
| 1Communication and Electronic Engineering department /collage of Engineering/ University of Technology,Baghdad,Iraq. | ||
| 2Department of Electrical Engineering, University of Technology, Baghdad, Iraq | ||
| 3Electrical and Electronics Engineering Department, University of Thi-Qar, Iraq. | ||
| Abstract | ||
| Compression of images process is a step in the image processing. It is concerned with the transmission and storage of digitally created images. Fractal coding is a potential image and video compression approach with good reconstruction fidelity and relatively large compression ratios, because of its simplicity and great performance; fractal image compression (FIC) is a particularly popular approach in image compression applications. However, it has a significant disadvantage in the form of a long encoding time. This is because encoding any small bit necessitates a massive similarity search in the original data As a result; the FIC search time is reduced while the quality of the reconstructed images is maintained acceptable level in many introduced paper and other still a study topic in progress. Fractal images are images that are self-similar in that each individual part is the same as the total. This paper will discusses many attempts for more author that working on image and video compression using fractal compression technique based on various approach and with each discuss focuses on the main parameter of compression such compression ratio (CR), peak signal to noise ratio (PSNR) and encoding time, as well as the details of data set the used for testing also writing with each technique to creating fractal video and image compression. | ||
| Keywords | ||
| FIC; Video compression; parallel processing; Iteration Function System (IFS); Image processing | ||
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